Edge AI Revolution: Scaling Intelligence from the Network Edge to the Data Center
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About this listen
The discussion covers strategies for deploying AI at the network edge, adapting to rapidly evolving workloads, and leveraging digital in-memory computing to enable low-power, high-throughput inference acceleration. It also delves into the future of chiplet-based design, the role of open and programmable hardware, and broader efforts to democratize compute. With shared perspectives on “scale within” and scalable system architectures, this episode offers a compelling view into the future of distributed AI.
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